Zhigang Wu, Bing Liu, Lijuan Wu, Shuai Ma, Bing Ren, Jiangtao Su, Yan Hou
{"title":"基于EMD算法的GIS机械振动信号分析","authors":"Zhigang Wu, Bing Liu, Lijuan Wu, Shuai Ma, Bing Ren, Jiangtao Su, Yan Hou","doi":"10.1109/ICISCE.2016.186","DOIUrl":null,"url":null,"abstract":"In order to effectively detect the mechanical condition of Gas Insulated Switchgear (GIS), Empirical Mode Transform (EMD) is proposed to analyze the vibration signal, then Intrinsic Mode Function is obtained. Feature matrix and similarity matrix are defined based on the power spectral density function and vector space model, forming the criterion of GIS mechanical failure. Two common GIS failure like screws loosening and particle vibration are built, which has proved its effectiveness and precise. This method would be of significance to find out potential faults and fault positioning of GIS in early stage.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Analysis of GIS Mechanical Vibration Signal Based on EMD Algorithm\",\"authors\":\"Zhigang Wu, Bing Liu, Lijuan Wu, Shuai Ma, Bing Ren, Jiangtao Su, Yan Hou\",\"doi\":\"10.1109/ICISCE.2016.186\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to effectively detect the mechanical condition of Gas Insulated Switchgear (GIS), Empirical Mode Transform (EMD) is proposed to analyze the vibration signal, then Intrinsic Mode Function is obtained. Feature matrix and similarity matrix are defined based on the power spectral density function and vector space model, forming the criterion of GIS mechanical failure. Two common GIS failure like screws loosening and particle vibration are built, which has proved its effectiveness and precise. This method would be of significance to find out potential faults and fault positioning of GIS in early stage.\",\"PeriodicalId\":6882,\"journal\":{\"name\":\"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICISCE.2016.186\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISCE.2016.186","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of GIS Mechanical Vibration Signal Based on EMD Algorithm
In order to effectively detect the mechanical condition of Gas Insulated Switchgear (GIS), Empirical Mode Transform (EMD) is proposed to analyze the vibration signal, then Intrinsic Mode Function is obtained. Feature matrix and similarity matrix are defined based on the power spectral density function and vector space model, forming the criterion of GIS mechanical failure. Two common GIS failure like screws loosening and particle vibration are built, which has proved its effectiveness and precise. This method would be of significance to find out potential faults and fault positioning of GIS in early stage.
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